{
 "cells": [
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-01-05T06:03:43.190443Z",
     "start_time": "2025-01-05T06:03:43.149103Z"
    }
   },
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "#第一个是x坐标，第二个是y坐标\n",
    "plt.plot([1, 2, 3, 4, 5], [1, 4, 9, 16, 25])\n",
    "#展示图像\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
      "image/png": "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"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 2
  },
  {
   "metadata": {},
   "cell_type": "code",
   "outputs": [],
   "execution_count": null,
   "source": "",
   "id": "89733b5f3a75d309"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
